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Learn moreAt Cognizant, we help our clients do what others can’t—operate with human insight, but at superhuman speed. So they get ahead. And stay ahead.
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Helping organizations engage people and uncover insight from data to shape the products, services and experiences they offer
Learn moreHow unlocking sustainability propels benefits that exceed expectations
Learn moreAt Cognizant, we help our clients do what others can’t—operate with human insight, but at superhuman speed. So they get ahead. And stay ahead.
Learn moreAt Cognizant, we help our clients do what others can’t—operate with human insight, but at superhuman speed. So they get ahead. And stay ahead.
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Predictive analytics in retail banking refers to the use of computer models that rely on artificial intelligence and data mining to analyze large amounts of information and to predict future customer behavior.
Predictive analytics can help banks by providing deep insights into customer needs; launch innovative products and services; deliver personalized and stellar experiences; lead to new business models; and transform using new processes and technology. Related benefits of predictive analytics include:
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